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tw93 / Subagents

Waza

🥷 Engineering habits you already know, turned into skills AI assistants like Claude Code, Codex and Cursor can run.

  • 7.4k estrellas
  • 423 forks
  • 0 issues abiertos
  • Lenguaje: Python
  • Licencia: MIT
  • actualizado

Instalación

Terminal
git clone https://github.com/tw93/Waza && cp Waza/*.md ~/.claude/agents/
  1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
  2. Start a new Claude Code session to load the agents.
  3. Delegate work to them with the Task/Agent tool or by name.

Nota editorial

Waza is a collection of eight structured subagent skills for Claude Code and other AI coding agents, each encoding a specific engineering workflow as a slash command or named invocation. The eight skills cover distinct phases of engineering work: `/think` pressure-tests a problem before any code is written, `/design` drives frontend UI iteration including screenshot-based aesthetic refinement, `/check` reviews diffs and handles release follow-through with evidence, `/hunt` requires root cause confirmation before applying any bug fix, `/write` rewrites prose in natural Chinese and English, `/learn` runs a six-phase research workflow from collection through self-review, `/read` routes URLs and PDFs through platform-specific logic to produce summaries or Markdown output, and `/health` audits agent configuration and AI maintainability with a budget-aware summary pass. Installation works via `npx skills add tw93/Waza` for Claude Code, Codex, OpenCode, and other agents, or through the Claude Code plugin marketplace on v2.1.143 and newer. Engineers who want consistent, opinionated workflows rather than ad-hoc prompting across multiple projects are the primary audience.

Items instalables

8 items en este repositorio

checkSkill

Reviews code diffs, PRs, issue queues, release readiness, commits, pushes, publishing, and project audits. Use when users ask in any language for code review, issue or PR triage, release gates, publishing follow-through, or project audits. Not for debugging root causes or prose review.

Instalar
designSkill

Produces distinctive, production-grade UI for pages, components, visual interfaces, typography, and screenshot-driven polish. Use when users ask in any language for UI, page, component, frontend, typography, screenshot-grounded visual polish, or complaints that a screen looks unclear, ugly, inconsistent, or visually wrong. Not for backend logic or data pipelines.

Instalar
healthSkill

Runs a budget-aware agent-assisted engineering health audit for instruction/config drift, hooks/MCP, verifier surfaces, and AI maintainability. Use when users ask in any language to audit Claude, Codex, Pi, agent instructions, MCP or hooks, verifier coverage, or AI-maintainability drift. Not for debugging application code or reviewing PRs.

Instalar
huntSkill

Finds root cause before applying fixes for errors, crashes, regressions, failing tests, broken behavior, and screenshot-reported defects. Use when users report in any language errors, crashes, broken behavior, regressions, failing tests, screenshot evidence, or something that used to work and now fails. Not for code review or new features.

Instalar
learnSkill

Runs a six-phase research workflow that turns unfamiliar domains, source bundles, or collected material into publish-ready output. Use when users ask in any language to research, study, deep-dive, compile sources, synthesize unfamiliar material, or turn a source bundle into a coherent reference. Not for quick lookups or single-file reads.

Instalar
readSkill

Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local text files already in the repo.

Instalar
thinkSkill

Turns rough ideas into approved, decision-complete plans with validated structure before coding. Use when users ask in any language for planning, architecture, design direction, feasibility, value judgment, or whether a feature is worth doing before implementation. Not for bug fixes or small edits.

Instalar
writeSkill

Rewrites and polishes prose in Chinese or English, removes AI-like wording, and reviews product localization copy while preserving intent for drafts, docs, release notes, launch copy, and social posts. Use when users ask in any language to draft, rewrite, proofread, localize, polish release notes, remove AI-like wording, or prepare launch and social copy. Not for code comments, commit messages, or inline docs.

Instalar
README

Resumen de Subagents

README no disponible. Visita el repo en GitHub para la documentación completa.
Casos de uso
Topics
agent-skillsai-agentsclaudeclaude-codecodexcursordesignengineerskillssuperpowers
Preguntas frecuentes

Lo que la gente pregunta sobre Waza

¿Qué es tw93/Waza?

tw93/Waza es subagents para el ecosistema de Claude AI. 🥷 Engineering habits you already know, turned into skills AI assistants like Claude Code, Codex and Cursor can run. Tiene 7.4k estrellas en GitHub y su última actualización registrada es del 2026-10-18.

¿Cómo se instala Waza?

Puedes instalar Waza clonando el repositorio (https://github.com/tw93/Waza) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar tw93/Waza?

Nuestro agente de seguridad ha analizado tw93/Waza y le ha asignado un Trust Score de 97/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene tw93/Waza?

tw93/Waza es mantenido por tw93. La última actividad registrada en GitHub es del 2026-10-18, con 0 issues abiertos.

¿Hay alternativas a Waza?

Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.